Availity · 12 hours ago

Senior Business Intelligence Engineer (Remote)

Florida, United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

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FitnessHealth Care

Growth Opportunities

No H1B

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Responsibilities

Lead the collaboration with Product Owners and development teams to understand business and analytic requirements, translate them into meaningful data pipeline design requirements and analytic products

Architect and deliver data solutions to support complex business intelligence and machine learning solutions

Design data models – document and collaborate to create conceptual and logical models

Architect and guide ETL engineers to optimize and maintain data models, and enable end-to-end data-driven integration

Maintain BI systems, design, develop, and implement various enterprise dashboard and reporting solutions

Direct and contribute to data pipeline development effort

Partner with Enterprise Architecture team to develop and implement future state data architecture standards, guidelines, and principles for the enterprise

Assist in implementation and maintenance of enterprise data stewardship, governance, and cataloging of company data and meta data

Collaborate with the data science and development teams to enable technologies and processes to maintain and improve data quality standards

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Information architectureHealthcare domain expertiseData engineering technologiesEnterprise business intelligenceCloud-based data technologiesData governanceData securityData qualityData modelingData engineering pipelinesCollaboration skills

Required

10 or more years of experience in business intelligence and data solution design

Strong domain expertise in healthcare business, administrative and clinical data

Working knowledge of cloud-based data technologies and relational databases, including Oracle, MySQL and specifically AWS products Redshift, S3, EMR, Glue, QuickSight, and Aurora

5 or more years of experience developing data products with enterprise business intelligence tools (Tableau, QuickSight, PowerBI, Cognos)

5 or more years of experience with data engineering technologies, including but not limited to Spark, Scala, SQL

Analytical skills with hands-on experience in identifying, quantifying, and effectively raising risks associated with data quality, compliance, retention, and security

Strong communication and collaboration skills with capability to execute with business and technology stakeholders.

Bachelor’s degree in Computer Science, Information Systems, or Information Management.